An Open-Source Package for Universal Extraction (UE)

Find outlier/anomaly for multi-class intents using Snips NLU

Dialog agent for handling task oriented chat

BERT for joint intent classification and slot filling

对话机器人，闲聊机器人，chatbot，faqbot，taskbot，FAQ，任务型，问答型，事实型，知识图谱，对话，机器人

Natural Language Understanding(NLU) benchmark for closed domain chatbot and task-oriented artificial intelligence secretary system

reflect's backend - determine intent validity

Implementation of 3 different models for joint intent classification and slot filling including two RNN-based model and a BERT-based one

AI-powered speech-to-text and text-to-speech platform with intelligent analysis using Deepgram. Features sentiment analysis, topic detection, intent recognition, and multiple voice personas.

Effortlessly generate synthetic dialogue given a sequence of intents! SOLID: A Python library designed for generating intent-aware dialogues using large language models. Accepted at ACL 2024 NLP for Conversational AI workshop

ElectroCare AI Assistant Chatbot – A multilingual customer-support chatbot built with Flask, NLP, and intent classification, supporting English, Italian, and Tigrigna.

Python scripts to extract Slack messages, and classify their intent using OpenAI's GPT-4 API

A library for Transformers-based Vietnamese Natural Language Understanding (NLU).

A framework for bootstrapping natural language understanding in novel, data-poor domains.

AI-ассистент

A very basic intent and entity classifier for chat assistant

A comparative analysis of encoder only and decoder only models in intent classication

AI-powered chatbot built with Python, NLP, and Flask — automate customer support queries with intent recognition and dynamic responses.

Snips Python library to extract meaning from text

An Undergraduate Capstone Project under the Digital Signal Processing Laboratory of the University of the Philippines Diliman